Search Results for author:
Found 6 papers, 2 papers with code
TryOnDiffusion: A Tale of Two UNets
Given two images depicting a person and a garment worn by another person, our goal is to generate a visualization of how the garment might look on the input person.
Disentangling Architecture and Training for Optical Flow
Our newly trained RAFT achieves an Fl-all score of 4. 31% on KITTI 2015, more accurate than all published optical flow methods at the time of writing.
FILM: Frame Interpolation for Large Motion
Recent methods use multiple networks to estimate optical flow or depth and a separate network dedicated to frame synthesis.
Ranked #2 on
Video Frame Interpolation
on Xiph-4k
Neural ODEs for Image Segmentation with Level Sets
We propose a novel approach for image segmentation that combines Neural Ordinary Differential Equations (NODEs) and the Level Set method.
Hierarchical Latent Word Clustering
This paper presents a new Bayesian non-parametric model by extending the usage of Hierarchical Dirichlet Allocation to extract tree structured word clusters from text data.
